Strategic learning self-efficacy reflects the confidence of managers in their ability to learn from the outcomes of … strategic learning self-efficacy and a firm's industry-adjusted sales growth rate and specifies strategic decision-making style … hypothesized relationships. Results indicate that strategic learning self-efficacy is not significantly related to firm growth as a …

exposure or experience can cause learning and hence better detection of deception. We investigate using data culled from events … individual from within a group all claiming to be that individual. Our sample showed evidence of learning, suggesting that …

We propose a framework in order to econometrically estimate case-based learning and apply it to empirical data from … twelve 2 × 2 mixed strategy equilibria experiments. Case-based learning allows agents to explicitly incorporate information …-based learning to other learning models (reinforcement learning and self-tuned experience weighted attraction learning) while using …

-maker. We derive the researcher's equilibrium learning strategy by solving an auxiliary single-player problem. The attribute … excessive response to new information, she forgoes learning altogether. In an organizational context, we show that a manager …

Learning is crucial to organizational decision making but often needs to be delegated. We examine a dynamic delegation … the principal, privately learns the profitability over time and communicates to the principal. We formulate learning … delegation as a dynamic mechanism design problem and characterize the optimal delegation scheme. We show that private learning …

While payoff-based learning models are almost exclusively devised for finite action games, where players can test every … action, it is harder to design such learning processes for continuous games. We construct a stochastic learning rule …

We establish convergence of beliefs and actions in a class of one-dimensional learning settings in which the agent …. Applications of our framework include learning by a person who has an incorrect model of a technology she uses or is overconfident … about herself, learning by a representative agent who may misunderstand macroeconomic outcomes, as well as learning by a …